About Me
AI Engineer specializing in LLM systems, RAG pipelines, and intelligent information retrieval. Experienced in LangChain orchestration, prompt optimization, and vector database architecture. Passionate about building production-grade AI systems with measurable performance and real-world impact. Open to AI Engineer roles in Germany, remote friendly across EU time zones.
Experience
Working Student – AI
NexDash
- Develop AI and machine-learning features for an electric-truck fleet platform, from computer vision for vehicle inspections to energy-consumption models that feed battery and route planning.
- Build and maintain features across the web app, the mobile driver app, and the backend (FastAPI, React, React Native).
- Integrate vehicle telematics and fleet data into the platform, turning live signals into planning, tracking, and compliance tools.
- Take features from requirements to release: design, implementation, code review, testing, and deployment, using AI-assisted development and review workflows.
Working Student – AI & Systems Engineer
Perinet GmbH · Cottbus, Germany
- Architected an end-to-end Graph RAG pipeline with Neo4j knowledge graphs, combining adaptive PDF chunking with entity-relationship modeling for context-aware document retrieval.
- Built a hybrid retrieval system integrating ChromaDB vector search, cross-encoder reranking, and semantic caching (0.85 similarity threshold) to reduce latency and retrieval noise.
- Engineered prompt optimization workflows with quantitative evaluation metrics, using the RAGAS framework to benchmark faithfulness, relevancy, and context precision.
- Developed production-grade LLM evaluation pipelines measuring hallucination rates, response quality, and retrieval accuracy across multiple RAG configurations.
Projects
Achievements
Education
Master of Science in Artificial Intelligence
Brandenburg Technical University · Cottbus, Germany
- Key subjects: Machine Learning, Deep Learning, Data Mining, Information Retrieval, Explainable ML, Computer Vision
Bachelor of Computer Applications
Mahatma Gandhi University · Kottayam, India
- Key subjects: Data Structures, Database Management Systems, Design and Analysis of Algorithms, Software Engineering, Computer Networks
GitHub
github.com/alwinpaul1
Skills
- LLM Engineering
- LangChainPrompt EngineeringRAG DesignChunk OptimizationLLM Monitoring
- LLM Evaluation
- RAGASContext EvaluationSynthetic Data Generation
- AI Frameworks
- PyTorchTensorFlowTransformersSentenceTransformersHugging FaceCrewAIOllama
- Vector & Graph DBs
- ChromaDBPineconeNeo4jFAISS
- Machine Learning
- Supervised LearningReinforcement LearningModel Fine-tuningExplainable AI
- Programming & Tools
- PythonGoGitDockerLinuxRESTful APIsPandasNumPyScikit-learnMatplotlib
- Languages
- English · C1German · A2, improving